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Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P901 - ESOC25-883 EXPLAINABLE MACHINE LEARNING-BASED PREDICTION OF GOOD FUNCTIONAL OUTCOME AFTER THROMBECTOMY FOR LARGE AND MEDIUM VESSEL OCCLUSION ISCHEMIC STROKE Michele Romoli 1 , Federica Sepe 2 , Francesco Cordici 1 , Sara Biguzzi 1 , Sebastiano Giacomozzi 1 , Elvis Lafe 1 , Delfina Ferrandi 3 , Ivan Gallesio 3 , Marco Longoni 1 , Federico Menetti 1 , Maria Ruggiero 1 , Giacomo Lancia 4 1 Department of Neurosciences, Bufalini Hospital, Cesena, Italy, Cesena, Italy, 2 IRCCS Mondino, Pavia, Italy, 3 Alessandria Hospital, Alessandria, Italy, 4 Universit La Sapienza, Roma, Italy Background and Aims: Despite largely used, ASPECT score has an insufficient accuracy in predicting the functional recovery after acute ischemic stroke and large inter-rater reliability